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Hr Analytics Specialist - Onsite
Company | BLUE ORIGIN |
Address | Denver, CO, United States |
Employment type | FULL_TIME |
Salary | |
Category | Defense and Space Manufacturing |
Expires | 2023-06-21 |
Posted at | 1 year ago |
We are a team with varied strengths of collaborators, doers, and problem-solvers who are relentlessly committed to a culture of safety. This position will directly impact the history of space exploration and will require your commitment and detailed attention towards safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth.
- Build from concept to visualization or analysis based on defined user requirements using necessary tools (Visier, Tableau, Excel, R, Python)
- Partner with multi-functional teams to understand use cases and gather requirements to design, and build frameworks for data and application integration
- Use both quantitative and qualitative data and descriptive and statistical approaches to complete analyses and provide interpretation of findings and ideas for action.
- Partner with other analytics teams, to leverage capabilities across Blue, in the development and deployment of talent analytics (e.g., ET, HR analytics partners, business analytics teams, external vendors)
- Expertise in descriptive and predictive analytics, dashboard design, survey development and analysis, communication, and implementation
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
- 3+ years applied work in HR Analytics with foundational understanding of talent data
- Proficiency in at least one statistics program (SPSS, R, SAS, Python, etc.)
- Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
- Masters degree in a field of science (e.g., industrial organizational psychology, applied statistics, behavioral science, or behavioral economics) or equivalent
- Consultative in approach with the business and key collaborators, able to translate data into recommended insights and actions
- Advanced Statistics (ANOVAs, Regressions, HLM, longitudinal data analysis, factor analysis, IRT, cluster analysis or SEM/Path Analysis)
- Excellent team skills and a strong communicator, both verbally and written
- Excellent time management skills and ability to plan and set priorities
- Proficiency in using HR Information Systems (Workday)
- Advanced expertise in a field related to talent (e.g., industrial organizational psychology, applied statistics, behavioral science, or behavioral economics)
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